Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. This chapter presents the basic ideas of OCR needed for a better understanding of the book. The chapter starts with a brief background and history of OCR systems. Then the different techniques of OCR systems such as optical scanning, location segmentation, pre-processing, segmentation, representation, feature extraction, training and recognition and post-processing. The different applications of OCR systems are highlighted next followed by the current status of the OCR systems. Finally, the future of the OCR systems is presented.
CITATION STYLE
Chaudhuri, A., Mandaviya, K., Badelia, P., & Ghosh, S. K. (2017). Optical character recognition systems. In Studies in Fuzziness and Soft Computing (Vol. 352, pp. 9–41). Springer Verlag. https://doi.org/10.1007/978-3-319-50252-6_2
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